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Record W2080586166 · doi:10.1108/09670731211270194

Rest is the hidden key to successful leadership

2012· article· en· W2080586166 on OpenAlexaff
Tim H. Vanderpyl

Bibliographic record

VenueHuman Resource Management International Digest · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicHuman Resource and Talent Management
Canadian institutionsRegent College
Fundersnot available
KeywordsRest (music)PraisePublic relationsMandateOriginalityValue (mathematics)Work (physics)PhoneEnergy (signal processing)Balance (ability)SociologyBusinessMarketingPsychologySocial psychologyPolitical scienceComputer scienceLawCreativity

Abstract

fetched live from OpenAlex

Purpose The article aims to describe the reasons that rest is an important part of leadership. Design/methodology/approach The benefits of rest to the organization and to the individual are explained. The article advances practical strategies that leaders can implement in their teams to replenish the energy levels within them. Findings The article details the importance of creating mandatory “no smart‐phone” times with teams; ensuring and enforcing a mandatory “no contact” practice between employees and the office while they are on vacation; finding ways to creatively praise employees who ask for time off for special family events, rather than praising those who sacrifice family events for the sake of work projects; and finding reasons, when possible, to send employees home early at random times with the mandate to relax at home. Practical implications It is explained that rest is essential to success as leaders. Leaders cannot perform at maximum efficiency 100 percent of the time. Social implications It is argued that society reveres leaders for their work ethic, but rarely for their “rest ethic”, and that a better balance between the two is needed. Originality/value The article focuses on how leaders regenerate energy after expending it.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.716
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.009

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.062
GPT teacher head0.267
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2012
Admission routes1
Has abstractyes

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